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首页> 外文会议>Augmented reality environments for medical imaging and computer-assisted interventions >Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy
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Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy

机译：多种基于体素的形态计量学方法的评估及其在颞叶癫痫白质变化分析中的应用

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摘要

The purpose of this study was to compare multiple voxel-based morphometry (VBM) approaches and analyze the whole-brain white matter (WM) changes in the unilateral temporal lobe epilepsy (TLE) patients relative to controls. In our study, the performance of the VBM approaches, including standard VBM, optimized VBM and VBM-DARTEL, was evaluated via a simulation, and then these VBM approaches were applied to the real data obtained from the TLE patients and controls. The results from simulation show that VBM-DARTEL performs the best among these VBM approaches. For the real data, WM reductions were found in the ipsilateral temporal lobe, the contralateral frontal and occipital lobes, the bilateral parietal lobes, cingulated gyrus, parahippocampal gyrus and brainstem of the left-TLE patients by VBM-DARTEL, which is consistent with previous studies. Our study demonstrated that DARTEL was the most robust and reliable approach for VBM analysis.
机译：这项研究的目的是比较多种基于体素的形态学（VBM）方法，并分析相对于对照的单侧颞叶癫痫（TLE）患者的全脑白质（WM）变化。在我们的研究中，通过模拟评估了包括标准VBM，优化VBM和VBM-DARTEL在内的VBM方法的性能，然后将这些VBM方法应用于从TLE患者和对照中获得的真实数据。仿真结果表明，VBM-DARTEL在这些VBM方法中表现最佳。对于真实数据，VBM-DARTEL在左TLE患者的同侧颞叶，对侧额叶和枕叶，双侧顶叶，带扣回，海马旁回和脑干中发现了WM降低，这与先前的结果一致学习。我们的研究表明，DARTEL是VBM分析中最可靠，最可靠的方法。

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  • 会议地点 Nagoya(JP)
  • 作者

    Wenjing Li; Huiguang He; Jingjing Lu; Bin Lv; Meng Li; Zhengyu Jin;

  • 作者单位

    State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China;

    State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China;

    Department of Radiology, Peking Union Medical College Hospital, Beijing, 100730, China;

    State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China;

    State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China;

    Department of Radiology, Peking Union Medical College Hospital, Beijing, 100730, China;

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